I am a researcher in sign language resources and technologies. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS). I am also involved in work on data infrastructure for the project, such as updated releases of the DGS corpus, public documentation, and implementation of the FAIR principles.

I am one of the organisers of the sign-lang@LREC workshop series and a board member of the Sign Language Linguistics Society. I also support the DFG Priority Programme ViCom as Open Data Consultant.

Together with colleagues I run a number of ressources designed to support sign language research. The Sign Language Dataset Compendium, compiles information on digital corpora and lexical resources for sign languages. The sign-lang@LREC Anthology is the annotated archive of the sign-lang@LREC workshop series. The Multilingual Sign Language Wordnet provides synset annotations for signs from eight different languages.

My academic background is in computational linguistics. In early 2019 I submitted my doctoral dissertation on the bootstrapped creation of lexica for sentiment polarity shifters (content words that can cause sentiment negation). Other topics I previously worked on included sentiment analysis, metaphor recognition, and context integration in speech recognition.

I also run Discword, a word-guessing game that uses only terms from Terry Pratchett’s Discworld.